R-SOR : Ranked Social-based Routing Protocol in Opportunistic Mobile Social Networks

Mohamad, Alrfaay and Aref Kurd, Ali and Slim, Chaoui and Halikul, bin Lenando (2022) R-SOR : Ranked Social-based Routing Protocol in Opportunistic Mobile Social Networks. Engineering, Technology & Applied Science Research, 12 (1). pp. 7998-8006. ISSN 1792-8036

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EExploiting social information to improve routing performance is an increasing trend in Opportunistic Mobile Social Networks (OMSNs). Selecting the next message’s relay node based on the user’s social behavior is a critical factor in attaining a high delivery rate. So, to ascertain the most efficient selection of the next relay, the correlation between daily social activities and the social characteristics in the user profiles can be exploited. In this paper, we consider the impact of the social characteristics on mobile user activities during certain periods of the day and then rank these characteristics based on their relative importance in order to be included in the routing protocol. These processes consolidate the proposed Ranked Social-based Routing (R-SOR) protocol to provide an effective way for data dissemination in OMSN. We use the real data set INFOCOM06 to evaluate the proposed protocol. The experimental results show that the proposed protocol has higher routing efficiency than flooding-based protocols such as Epsoc and Epidemic, prediction-based protocols such as PRoPHET, and social-based protocols such as MSM and Bubble Rap.

Item Type: Article
Additional Information: Information, Communication and Creative Technology
Uncontrolled Keywords: opportunistic networks; mobile social networks; data dissemination; social-based routing.
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology
Depositing User: Gani
Date Deposited: 05 Aug 2022 08:06
Last Modified: 07 Sep 2022 02:00
URI: http://ir.unimas.my/id/eprint/39116

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